The Athletic | Football
Every football story that matters. Breaking news. In-depth analysis. 🔖 Subscribe: https://www.nytimes.com/athletic/uksubscribe
730,794
Followers
324
Following
57,013
Tweets
197.5
Avg Engagement
3,764
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TheAthleticFC's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2018-03-06
- Verification:Yes
- Location:UK
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:168.6
- Avg Retweets per Tweet:28.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a high level of engagement, with an average of 3,748 likes and 582 retweets per tweet. This indicates a loyal and active follower base that values the content provided.
168.6
Avg Likes/Tweet
28.9
Avg Retweets/Tweet
547,960
Total Likes
93,992
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
109
Median Likes
12
Median Retweets
209
75th Percentile
8,558
Top Tweet
0.27
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
73.4%
Original
7.8%
Replies
18.6%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
59.7%
With Links
51.4%
With #Tags
72.6%
With @Mentions
41.6%
With Emojis
198
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,250 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 605 retweets (19% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,250 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersThe primary audience includes football enthusiasts, fans of specific clubs, and those interested in player stories and match analysis. The content appeals to a broad demographic, with a focus on in-depth and timely information.
Average
Audience Quality
27.3%
Suspicion Index
36.3%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.8%
Empty Bio
33.9%
<10 Tweets
6.7%
Mass Following (>2K)
0.0%
New (<90 days)
58.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
23.9%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
23,870,711
Total Potential Reach
21
Median Follower Reach
116
75th Percentile Reach
4.1%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
43.8%
Creators
21,921 accounts
22.2%
Consumers
11,108 accounts
33.9%
Dormant
16,971 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
752
Verified Followers
0.74% of total
9,752
Protected Accounts
9.66% of total
5 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @LaLigaEN | 2,193,779 | Sports Media | Football, La Liga, International |
| @LeonKrauze | 1,584,445 | Journalist | TV, Journalism, Podcasts |
| @nurisahin | 1,248,945 | Footballer | Football, Dad, Antalyaspor |
| @eazcarraga | 1,226,405 | Media | Media, Entertainment, Television |
| @LeBronJames | 1,005,321 | - | - |
| @SarahAbdelbaky1 | 985,901 | Sports Journalist | Sports, Journalism, Dreams |
| @StanCollymore | 894,283 | Football Analyst | Football, Anti-Racism, Mental Health |
| @ZachBoychuk | 829,849 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @Tim_Cahill | 742,036 | Athlete | Football, Education, World Cup |
| @Ryanbabel | 739,519 | Footballer | Football, Music, Activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,326
Followers With Bio
47,673
Followers Without Bio
52.8%
% With Bio
47.2%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed26,582
Combined Engagement
23,950
Total Likes
2,632
Total Retweets
5,316
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Antonio Conte believes Richarlison's recent comments weren't aimed at him and agreed that the Brazilian's season has been "shit". #THFC https://t.co/muYAibUHoW
Mykhailo Mudryk and Noni Madueke were among the players that had to get changed in the corridor outside the dressing room, such is the bloated nature of Chelsea's squad... #CFC | #PL https://t.co/6acffM2mkG
Christian Atsu has still not been located nine days after the earthquakes that have devastated parts of Turkey and neighbouring Syria. https://t.co/e0yQQv7k5I
In a significant development, La Liga will return Gavi’s status to that of a Barcelona academy player which means a release clause allowing him to leave for nothing this summer now comes back into effect. #FCB https://t.co/PzHpqLPiTm
46 yards out... https://t.co/x9ahCOS4PR
Key Insights & Takeaways
The account often covers player controversies and personal stories, which can drive engagement and discussion. It highlights both on-field and off-field events, providing a well-rounded view of the football world. The use of verified links and hashtags helps in driving traffic and increasing visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 730,794
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @TheAthleticFC reveals an well-established Twitter presence with 730,794 followers. The account demonstrates a content-creator strategy, averaging 197.5 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access